About Phonely

There are billions of calls made every day which will soon be handled by AI. Today 70% of business customer support calls are outsourced to call centers and contact centers. These call centers are looking for a solution that they can build simulate, and deploy voice agents all in one platform. We are building this.

Through YC we grew at 22% week over week and went through demo day with the some of the top revenue in the batch. We already work with the largest contact centers in the world and are looking for people that want to build the future of AI phone support together.

San Francisco, CA — On-site, Full Time

Power the infra behind AI voice at scale.

About Phonely

We’re building the infrastructure to power billions of AI phone calls. Phonely is a full-stack platform that lets businesses build, simulate, and deploy AI voice agents — with human-level performance, sub-second latency, and enterprise-grade reliability.

We’ve grown 30% month for the past 6 months, with zero paid ads. Now we’re growing fast and need a DevOps Engineer to help us keep everything running at 99.999% uptime as we scale.

What You’ll Be Doing

• Own and evolve our infrastructure across GCP, Kubernetes, and ArgoCD.
• Maintain and optimize our CI/CD pipelines, build systems, and deployment flows.
• Implement and improve GitOps workflows for fast, safe rollouts.
• Monitor our systems with Datadog and build alerting that’s smart, not noisy.
• Collaborate closely with engineering to support rapid iteration and high reliability.
• Help us scale from thousands to millions of real-time voice interactions.

What We’re Looking For

• 3+ years experience in DevOps, SRE, or platform engineering
• Strong experience with GCP, Kubernetes, and Argo CD
• Familiarity with Python for scripting and automation
• Experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, CircleCI)
• Comfort with monitoring + observability stacks (Datadog, Prometheus, etc.)
• Solid understanding of modern GitOps practices and container workflows

Bonus Points

• You’ve built or scaled infra for real-time systems (audio/video, low-latency APIs)
• You’ve worked in early-stage environments with fast-moving deploy cycles
• You’re obsessed with reliability but know when to move fast
• Experience with Terraform, Helm, or policy-as-code frameworks

Why Join Us

• Equity in one of YC’s fastest-growing companies
• Work on real infrastructure that handles real traffic, every minute
• Big ownership — you’ll define our ops culture and tooling
• On-site in SF (breakfast, lunch, and dinner included)
• Work directly with engineers and founders — zero fluff, just impact

To achieve human-level performance with voice AI agents, we need 99.9% reliability across all verticals. Building a high-performing Voice AI solution requires a combination of key elements:

1. Voice AI Infrastructure: Develop robust systems that can handle real-time conversations seamlessly.
2. API Integrations: Connect with relevant software to ensure smooth interactions.
3. LLM Testing, Simulation, and Evaluation: Validate models under various conditions to ensure accuracy.
4. Performance Monitoring: Continuously track metrics to optimize system performance.
5. Countless Other Tasks: From scaling infrastructure to managing edge cases, achieving this level of reliability is no small feat.

We’ve brought all of these elements together in one place so enterprises can integrate reliable and accurate voice AI into their offerings in minutes, not months.